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Dive deep into Talend data techniques from basics
to advanced level through hands-on sessions.

Objectives

Gain enriched knowledge on using Big Data and Cloud components to connect to Amazon S3, Google BigQuery, Snowflake, MongoDB, Apache Cassandra, Apache Kafka, learn about designing ELT processes, and know the difference to ETL.

Course Outcome

Installation and configuration of Talend Open Studio
Design ETL architecture and configure data transformation jobs
Manage and monitor Talend job workflow
Use TOS GUI to handle jobs and tasks
Configure and manage delivery repositories
Setup ETL functionalities and scenarios

Why Mazenet?



  • Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

  • Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

  • Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

  • Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

  • Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

  • 24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Key Features

  • Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

  • Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

  • Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

  • Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

  • Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

  • Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • Introduction to Data Integration, Data Quality, Data management, Data Preparation, and Big Data Eco System (BDES)
  • Concepts & components of Talend Open Studio
  • Getting started with Talend Open Studio
  • Using the TOS GUI
  • Configuring a View
  • Creating a Project
  • Design and Create a Job

  • Concepts of a Business Model, Multidimensional Models
  • Designing Business Models, abstraction, and Relationship types
  • Modelling a Business Mode in TOS using shapes & relationship types
  • Creating a Business Model in TOS
  • Assigning Repository elements to a Business Model
  • Working with Metadata
  • Creating a Built-in Schema
  • Propagating Schema Changes
  • Creating a generic schema from existing metadata
  • Dropping Schema to empty components
  • Cutting and pasting schema information
  • Schema types - Inbuilt, Generic, Repository,

  • Usage of Data Processing functions in Talend
  • Configuring Error and Exception Handling
  • Configuring Deployment connectors
  • Creating Context variables, Global Variables, Context Group
  • Usage of Prompts in Talend Jobs
  • Running Jobs in different contexts

  • Design and create a Talend Job
  • Configure the Delimited file and Meta Data,
  • Configure the schema for data integration, processing, propagation, and deployment
  • Configuring Statistics and Logs
  • Creating Sub jobs
  • Passing parameters to Sub Job
  • Passing context variables from Parent Job to Child Job
  • Passing context variables from Child Job to Parent Job
  • Creating a task in Job Conductor
  • Creating an execution plan in TAC
  • Scheduling Jobs in TAC

  • Implementing ELT jobs
  • Implementing triggers
  • Implementing file management
  • Implementing Slowly Changing Dimensions
  • Implementing Performance Tuning
  • Performance Tuning using Sub jobs
  • Orchestration and Adding Breakpoints
  • Debugging a Run job

  • Complete data integration project development using Talend ETL features